Special Section in the SIAM Journal on Scientific Computing (SISC)
Two Themes: “CSE Software” and “Big Data in CSE”

The Special Section focuses on CSE Software and Big Data in CSE. It will feature high-quality scientific computing papers in either of these two areas (or their intersection).

Interest in software and big data aspects of CSE and scientific computing has been increasing rapidly in the past few years, with many new challenges arising in a variety of application domains. Novel approaches are being developed to tackle these challenges across the entire CSE pipeline, which encompasses the end-to-end process from primary data and abstract models to informed decisions.

In the area of CSE software, specific topics of interest for the Special Section include novel design and development of high-quality software for various aspects of CSE, for example the following:

CSE software design and development to support advanced parallel algorithms and high-performance computing

approaches for exploiting new architectural features for scientific simulation, including many-core, accelerators, multithreading, and heterogeneity

libraries for scientific computing

scientific software problem solving environments

approaches to achieving portable performance of numerical codes

quality assurance of scientific software and reproducibility of results